Award List

Sentient will develop an enhanced prediction of gear tooth surface fatigue life with rigorous analysis of the tribological phenomena that contribute to pitting failure. Advanced mixed-elastohydrodyna ...

Current life prediction methods, such as AGMA, are empirical-based, deterministic in nature and cannot consider the effects of gear manufacturing processes, material microstructure and lubrication on ...

The Arnold Engineering Development Center has witnessed vibration anomalies on facility equipment that have raised concerns about possible catastrophic or costly failures. In response, AEDC is seekin ...

Sentient will adapt its existing prognostics and health management software and architecture, called SAGE, to Navy unmanned aerial vehicles (UAVs). SAGE is particularly well-suited for UAVs because it ...

Sentient will develop enhanced fretting fatigue analysis software with rigorous consideration of surface roughness effects in the stick/slip phenomena and fatigue. This will be coupled with an analysi ...

Military and commercial aircraft operators are moving toward predictive maintenance to minimize costs while maximizing asset availability and safety. Key technological prerequisites for this new appro ...

"Sentient Corporation, in partnership with The Timken Company and the Mechanical Engineering Tribology Laboratory (METL) at Purdue University, proposes the development of comprehensive and accurate fa ...

Lubrication problems in rolling element bearings are the leading cause of failure in spacecraft momentum/reaction wheels, control moment gyros, gimbals, and similar applications. Condition monitoring ...

Bearing failure in satellite applications is related to lubricant starvation rather than fatigue, and health monitoring systems for these applications must be able to observe subtle changes related to ...